Enoch Yeung

According to our database1, Enoch Yeung authored at least 43 papers between 2009 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis.
J. Nonlinear Sci., 2022

Learning Invariant Subspaces of Koopman Operators-Part 2: Heterogeneous Dictionary Mixing to Approximate Subspace Invariance.
CoRR, 2022

Learning Invariant Subspaces of Koopman Operators-Part 1: A Methodology for Demonstrating a Dictionary's Approximate Subspace Invariance.
CoRR, 2022

Data-Driven Observability Decomposition with Koopman Operators for Optimization of Output Functions of Nonlinear Systems.
CoRR, 2022

Heterogeneous mixtures of dictionary functions to approximate subspace invariance in Koopman operators.
CoRR, 2022

Prediction of whole-cell transcriptional response with machine learning.
Bioinform., 2022

2021
The Effect of Sensor Fusion on Data-Driven Learning of Koopman Operators.
CoRR, 2021

2020
Data Driven Online Learning of Power System Dynamics.
CoRR, 2020

Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Data-Driven Operator Theoretic Methods for Global Phase Space Learning.
Proceedings of the 2020 American Control Conference, 2020

Steady state programming of controlled nonlinear systems via deep dynamic mode decomposition.
Proceedings of the 2020 American Control Conference, 2020

Prediction of fitness in bacteria with causal jump dynamic mode decomposition.
Proceedings of the 2020 American Control Conference, 2020

Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm.
Proceedings of the 2020 American Control Conference, 2020

2019
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks.
J. Comput. Phys., 2019

Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics.
CoRR, 2019

Online Learning of Dynamical Systems: An Operator Theoretic Approach.
CoRR, 2019

Persistence of Excitation for Koopman Operator Represented Dynamical Systems.
CoRR, 2019

A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings.
CoRR, 2019

Optimal reporter placement in sparsely measured genetic networks using the Koopman operator.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Koopman Operators for Generalized Persistence of Excitation Conditions for Nonlinear Systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A data-driven method for quantifying the impact of a genetic circuit on its host.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

Design and Simulation of Patient-Specific Tissue-Engineered Bifurcated Right Ventricle-Pulmonary Artery Grafts using Computational Fluid Dynamics.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems.
Proceedings of the 2019 American Control Conference, 2019

On Computation of Koopman Operator from Sparse Data.
Proceedings of the 2019 American Control Conference, 2019

2018
Decomposition of Nonlinear Dynamical Networks Via Comparison Systems.
Proceedings of the 16th European Control Conference, 2018

Stabilization of Power Networks via Market Dynamics.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

A Koopman Operator Approach for Computing and Balancing Gramians for Discrete Time Nonlinear Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians.
Proceedings of the 2018 Annual American Control Conference, 2018

A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems.
IEEE Trans. Control. Netw. Syst., 2017

Solving differential equations with unknown constitutive relations as recurrent neural networks.
CoRR, 2017

Contingency analysis of water distribution networks using quadratic sensitivity functions.
Proceedings of the 2017 American Control Conference, 2017

2015
Global network identification from reconstructed dynamical structure subnetworks: Applications to biochemical reaction networks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Modeling the effects of compositional context on promoter activity in an E. coli extract based transcription-translation system.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Initial-Condition Estimation in Network Synchronization Processes: Algebraic and Graphical Characterizations of the Estimator.
Complex Syst., 2013

Resource competition as a source of non-minimum phase behavior in transcription-translation systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Modeling environmental disturbances with the chemical master equation.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Quantifying crosstalk in biochemical systems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Dynamical structure function identifiability conditions enabling signal structure reconstruction.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
The Meaning of Structure in Interconnected Dynamic Systems
CoRR, 2011

Mathematical relationships between representations of structure in linear interconnected dynamical systems.
Proceedings of the American Control Conference, 2011

2010
Representing structure in linear interconnected dynamical systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Network structure preserving model reduction with weak a priori structural information.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


  Loading...